Fault Signal Adaptive Detection Research and Design with the High Noisy Environment

Abstract:

National safe production guarantee is one of kernel on troubling area of production, power system is a critical field too, since its higher requirement on electric supply and potential dangerousness.It has an important significance how to find potential faults as soon as possible for production and lifes security, the research of fault adaptive detection system based on higher noisy environment is a method improving the condition in this field. This paper indicates the effectiveness of this algorithm through discusing its realization procedure and simulation practice effect. The traditional cepstrum analysis is based on FFT, this algorithm improves it through getting inversion about CZT, fault characteristic curves is good at stability and reliability, it is a bright spot of this paper.

• Periodical: Applied Mechanics and Materials (Volumes 325-326)
• Pages: 1106-1109
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.325-326.1106
• Online since: June 2013
• Authors: Wei Xu, Zhong Ce Wang
• Keywords: Adaptive Detection, Cepstrum Analysis, Chirp-Z Transform, FFT Algorithm, High Noise

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